Abstract: Embodiments herein disclose a method and a device for embedding neural networks as a matrix for a network device in wireless networks. The method includes receiving s from the network device. Further, the method also includes determining the KPI among the plurality of KPIs as target KPIs that related to a network anomaly using a ML model. Further, the method also includes determining a correlation of the target KPI with the plurality of KPIs for the network anomaly using the ML model. Further, the method also includes determining the matrix indicating a relation of the target KPI with the plurality of KPIs. Furthermore, the method includes optimizing a resource of the network device by embedding the matrix in the network device.

Abstract: A method of reporting measurements of an uplink positioning reference signal includes: receiving, at a base station, the uplink positioning reference signal from a user equipment; determining, at the base station, a plurality of measurement values of the uplink positioning reference signal, each of the plurality of measurement values being of a same type of measurement, and corresponding to the uplink positioning reference signal; and sending, from the base station to a server, a report including the plurality of measurement values of the uplink positioning reference signal and at least one indication that the plurality of measurement values corresponds to a same uplink positioning reference signal.

Abstract: A gas turbine engine is provided. The gas turbine engine includes a turbomachine having a compressor section, a combustion section, and a turbine section arranged in serial flow order and together defining a working gas flowpath, the turbomachine including an acoustic liner, the acoustic liner having: a flowpath wall exposed to the working gas flowpath, the flowpath wall defining an opening; and a duct wall extending from the flowpath wall defining at least in part an acoustic passage defining a volume, the acoustic passage operable to attenuate noise through the working gas flowpath during an operating condition of the gas turbine engine.

Abstract: The disclosed system may include a processor configured to encode, using an encoding scheme that reduces a number of bits needed to represent one or more instructions from a set of instructions in an instruction buffer represented by a dependency matrix, a dependency indicating that a child instruction represented in the dependency matrix depends on a parent instruction represented in the dependency matrix. The processor may also be configured to store the encoded dependency in the dependency matrix and dispatch instructions in the instruction buffer based at least on decoding one or more dependencies stored in the dependency matrix for the instructions. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods, systems, and computer program products for selection of a witness during virtualization system recovery after a disaster event. A recovery plan is configured to identify a witness that is then used to elect a leader to implement the recovery. Various system, and/or network, and/or component failures and/or various loss of function of components of the virtualization system can trigger initiation of the recovery plan. Based on the particular recovery plan that is invoked upon a determination of a network outage, or component failure or loss of function of a component of the virtualization system, a particular witness corresponding to a subset of entities of the particular recovery plan is selected. The witness is used to elect the leader, and the leader initiates actions of the recovery plan. The implementation of the recovery plan includes consideration of the health of components that would potentially be involved in the recovery actions.

Abstract: The present invention generally relates to the field of automated and flexible information extraction and protection for graphical data. In particular, the invention provides a unique platform for analyzing, classifying, extracting, and processing information from images using deep learning image detection models. Embodiments of the inventions are configured to provide an end to end automated solution for intelligently hiding or obscuring private data from graphical displays via the use of embedded steganographic image data techniques.

Abstract: A controller of a processor core may select telemetry data generated by a plurality of sensors of the processor core at a first time interval of a plurality of time intervals. The controller may transform the telemetry data based at least in part on a model. The controller may detect a change at the first time interval based on the transformed telemetry data. The controller may determine an event based on the change. The controller may initiate an action during the first time interval based on the event.

Abstract: Some embodiments provide a method for handling failure at one of several peer centralized components of a logical router. At a first one of the peer centralized components of the logical router, the method detects that a second one of the peer centralized components has failed. In response to the detection, the method automatically identifies a network layer address of the failed second peer. The method assumes responsibility for data traffic to the failed peer by broadcasting a message on a logical switch that connects all of the peer centralized components and a distributed component of the logical router. The message instructs recipients to associate the identified network layer address with a data link layer address of the first peer centralized component.

Abstract: Some embodiments provide a method of performing load balancing for a group of machines that are distributed across several physical sites. The method of some embodiments iteratively computes (1) first and second sets of load values respectively for first and second sets of machines that are respectively located at first and second physical sites, and (2) uses the computed first and second sets of load values to distribute received data messages that the group of machines needs to process, among the machines in the first and second physical sites. The iterative computations entail repeated calculations of first and second sets of weight values that are respectively used to combine first and second load metric values for the first and second sets of machines to repeatedly produce the first and second sets of load values for the first and second sets of machines.

Abstract: Systems and methods for peer-to-peer video streaming from an edge data storage device to a browser are described. A surveillance video camera may establish a secure peer-to-peer connection using a first data transfer protocol with a user device. Once the secure peer-to-peer connection is established with the user device, out of band key exchange may occur through the peer-to-peer connection. Then, a shared key may be generated at both the video camera and the user device such that a request for media from the user device may be sent to a relay server over a second data transfer protocol. The video camera may then send an encrypted data file responsive to the media request over the second data transfer protocol to the relay server.

Abstract: In one example an apparatus comprises a first input node to receive a first plaintext input, a second input node to receive a second plaintext input, a third input node to receive a random mask and an advanced encryption standard (AES) circuitry configurable to operate in one of a first mode in which the random mask is added to the first plaintext input during one or more computations to convert the first plaintext input to a first ciphertext output, or a second mode in which the first plaintext input is converted to a first ciphertext output and the second plaintext input is converted to a second ciphertext output without using the random mask. Other examples may be described.

Abstract: A fuel cell system having a fuel cell includes an anode, a cathode, a membrane electrode assembly, a bipolar plate, and a microporous layer. The bipolar plate comprises an anode flow field.

Abstract: Methods and systems to manage an environmental condition, such as power consumption and/or temperature, of an integrated circuit (IC) device by controlling a bandwidth of a packet-based communication interface of the IC device (e.g., a PCIe interface). Bandwidth may be controlled by controlling delay between packets or controlling delay of a handshake signal. Delay may be increased when the environmental condition reaches a first threshold. Delay may be reduced when the environmental condition falls to a second threshold. Bandwidth may be regulated with proportional-integral control provided by a firmware controller and/or hardware. Bandwidth may be separately controlled for upstream and downstream paths based on bandwidth utilization of the respective paths. Bandwidth control may utilize codes stored in selectable registers. The IC device may include a field programmable gate array (FPGA) and may be configured as an accelerator card.

Abstract: An index modeling system that generates index models that predict values of an attribute of a supply chain for a commodity is disclosed. The index models are generated from indicator data that includes data related to multiple indicators and a plurality of sub-indicators of the index arranged in a hierarchical structure. Accordingly, the index values can be predicted for different entities at different levels in the hierarchical structure. The predicted index values can be used to automatically generate a filtered list of suppliers who can be used for procurement based on comparisons of the predicted attribute values of the suppliers with a predetermined attribute threshold value.

Abstract: Methods and systems for operating a Heating, Ventilating and Air Conditioning (HVAC) system in accordance with one of a plurality of operating modes. The plurality of operating modes include one or more of a health mode, an energy savings mode and a balanced mode. In some cases, the operating modes include two or more energy saving modes. The currently operating mode is selected based on the current operating conditions of the building and the desired goals of the building operator. The goals can include, for example, reducing energy usage, reducing pathogen risks, increasing air quality and/or a combination of these goals. In some cases, the operating modes are autonomously controlled. In some cases, the operating modes are manually controlled.

Abstract: Systems and methods described herein provide a co-managed configuration service. A network device stores parameters for the co-managed configuration service. The parameters identify exposed services for an enterprise network that uses devices from a network service provider. The network device receives, via a customer portal, a vendor-agnostic change request for the enterprise network. The change request includes a user role and a change request name for one of the exposed services. The network device authenticates the change request based on the user role and the change request name and retrieves vendor director information for an SDN device implementing the configuration change. The network device invokes, in response to the change request, the configuration change for the enterprise network based on the vendor director information.

Abstract: In an example, a container cluster management system includes a first node, a second node and redistribution manager. The first node has an allocated external IP address, and comprises a utilization monitor to provide data relating to a utilization of the first node. The redistribution manager may receive the data relating to the utilization of the first node from the first node and determine whether the utilization of the first node has exceeded a predetermined threshold. Responsive to the utilization exceeding the predetermined threshold, the redistribution manager may reallocate the external IP address from the first node to the second node.

Abstract: Systems and methods are provided to address issues related to poor radio conditions (e.g., SS-RSRP/SS-RSRQ/SS-SINR) associated with poor coverage for user devices (e.g., user equipment (UEs)) positioned between Synchronization Signal Block (SSB) beams emitted from a cell tower. Specifically, Next Generation Node B (gNB) may identify the location of the user devices (reporting poor signal strength due to poor radio conditions) based on angle or arrival and/or timing advance. Systems and methods further include controlling a phase and amplitude of the SSB beam(s) serving the user device to improve the signal strength of these user devices experiencing poor radio conditions, until the signal strength is within/above target threshold value(s). In this manner, user coverage is improved, with the option to prioritize premium subscribers, without the need for employing a more expensive alternative (e.g., building additional cell sites and towers) for improving user coverage.

Abstract: A full-body protection gear is disclosed. The protection gear includes a torso protector, an arm protector, and a lower body protector. The torso protector includes a protective vest defining a neck opening, a first arm opening, and a second arm opening. The torso protector includes a front shield, aback shield, a first pair of side shields, a second pair of side shields, a first shoulder shield and a second shoulder shield fixedly disposed on the protective vest. The arm protector includes a first part adapted to cover an upper arm region of a user extending from a shoulder to an elbow, and a second part adapted to be removably coupled with the first part and to cover a lower arm region of the user extending from the elbow to a palm. The lower body protector includes a first part adapted to cover pelvic region and an upper leg region of a user, and a second part removably coupled with the first part in a partial overlapping manner, and adapted to cover lower leg region of the user.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and computer program product embodiments for adapting an automated speech recognition system to provide more accurate suggestions to voice queries involving media content including recently created or recently available content. An example computer-implemented method includes transcribing the voice query, identifying respective components of the query such as the media content being requested and the action to be performed, and generating fuzzy candidates that potentially match the media content based on phonetic representations of the identified components. Phonetic representations of domain specific candidates are stored in a domain entities index and is continuously updated with new entries so as to maintain the accuracy of the speech recognition of voice queries for recently created or recently available content.